{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a63c0e19-3902-44ee-9b02-ba7ecfdb5268",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "Files already downloaded and verified\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "crab  flatfish rose  sweet_pepper forest beetle worm  television lion  orchid pine_tree chimpanzee mountain girl  motorcycle pickup_truck rose  tiger bee   palm_tree tractor bottle tank  mountain shrew leopard cup   wardrobe shrew girl  mountain otter\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "from useful_tools import *\n",
    "import torch.optim as optim\n",
    "import torch.nn as nn\n",
    "from torch.nn import functional as F\n",
    "from chao_kk import *\n",
    "from torch.optim import lr_scheduler\n",
    "\n",
    "\n",
    "batch_size = 32\n",
    "trainloader, testloader, classes = get_dataLoader_RandAugment(batch_size)\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "def imshow(img):\n",
    "    img = img / 2 + 0.5     # unnormalize\n",
    "    npimg = img.numpy()\n",
    "    plt.imshow(np.transpose(npimg, (1, 2, 0)))\n",
    "    plt.show()\n",
    "dataiter = iter(trainloader)\n",
    "images, labels = next(dataiter)\n",
    "imshow(torchvision.utils.make_grid(images))\n",
    "print(' '.join(f'{classes[labels[j]]:5s}' for j in range(batch_size)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0a20afd9-e695-4f86-b63b-3c0806770d13",
   "metadata": {},
   "outputs": [],
   "source": [
    "def padding_size(dilation, kernel_size):\n",
    "  return dilation * (kernel_size - 1) // 2\n",
    "\n",
    "def conv3x3(in_channel, out_channel, stride, dilation = 1):\n",
    "  return nn.Conv2d(in_channel, out_channel, kernel_size = 3, stride = stride, padding = padding_size(dilation, 3), bias = False, dilation = dilation)\n",
    "\n",
    "def conv1x1(in_channel, out_channel, stride = 1, dilation = 1):\n",
    "  return nn.Conv2d(in_channel, out_channel, kernel_size = 1, stride = stride, padding = 0, bias = False, dilation = dilation)\n",
    "\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8a1eb695-87a9-4d22-a3f7-b19a22baf1e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "class ResBlock(nn.Module):\n",
    "  def __init__(self, in_channel, out_channel, stride, downsample = None, dilation = 1):\n",
    "    super(ResBlock, self).__init__()\n",
    "    self.conv1 = conv3x3(in_channel, out_channel, stride, dilation)\n",
    "    self.bn1 = nn.BatchNorm2d(out_channel)\n",
    "    self.conv2 = conv3x3(out_channel, out_channel, 1, dilation)\n",
    "    self.bn2 = nn.BatchNorm2d(out_channel)\n",
    "    self.relu = nn.ReLU()\n",
    "    self.downsample = downsample\n",
    "\n",
    "  def forward(self, x):\n",
    "    shortcut = x\n",
    "    x = self.conv1(x)\n",
    "    x = self.bn1(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.conv2(x)\n",
    "    x = self.bn2(x)\n",
    "    if self.downsample != None:\n",
    "      shortcut = self.downsample(shortcut)\n",
    "    x += shortcut\n",
    "    return x\n",
    "\n",
    "class ResNet(nn.Module):\n",
    "  def __init__(self, classes, base_channel = 64):\n",
    "    super(ResNet, self).__init__()\n",
    "    # 老实说，我怕64、128……512通道实在是太慢了，通过base_channel来调节通道。感觉可以设置为16\n",
    "    self.base_channel = base_channel\n",
    "    self.conv1 = conv3x3(3, base_channel, 1)\n",
    "    self.bn = nn.BatchNorm2d(base_channel)\n",
    "    self.relu = nn.ReLU()\n",
    "    self.max_pool = nn.MaxPool2d(kernel_size = 2, stride = 2)\n",
    "    self.conv2_x = self.init_ResBlock(base_channel * 1, base_channel * 1, stride = 1, block_num = 3, dilation = 1)\n",
    "    self.conv3_x = self.init_ResBlock(base_channel * 1, base_channel * 2, stride = 2, block_num = 4, dilation = 1)\n",
    "    self.conv4_x = self.init_ResBlock(base_channel * 2, base_channel * 4, stride = 2, block_num = 6, dilation = 1)\n",
    "    self.conv5_x = self.init_ResBlock(base_channel * 4, base_channel * 8, stride = 2, block_num = 3, dilation = 1)\n",
    "    self.avg = nn.AvgPool2d(kernel_size = 2, stride = 2)\n",
    "    self.fc1 = nn.Linear(base_channel * 8 * 4, base_channel * 8)\n",
    "    self.fc2 = nn.Linear(base_channel * 8, base_channel * 4)\n",
    "    self.fc3 = nn.Linear(base_channel * 4, len(classes))\n",
    "    self.dropout = nn.Dropout(0.01)\n",
    "\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = self.conv1(x)\n",
    "    x = self.bn(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.conv2_x(x)\n",
    "    x = self.conv3_x(x)\n",
    "    x = self.conv4_x(x)\n",
    "    x = self.conv5_x(x)\n",
    "    x = self.avg(x)\n",
    "    x = x.view(x.size(0), -1)\n",
    "    x = self.fc1(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.fc2(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.fc3(x)\n",
    "    x = self.dropout(x)\n",
    "    return x\n",
    "\n",
    "  def init_ResBlock(self, in_channel, out_channel, stride, block_num, dilation):\n",
    "    downsample = None #这个好东西是用来把特征图宽高缩小的\n",
    "    if stride != 1 or in_channel != out_channel:\n",
    "      # 对于3*3的padding为1的卷积核，如果stride为1的话卷完后特征图宽高是不变的。\n",
    "      # 如果stride是2的话，那么宽高会变成原来的一半。\n",
    "      # 计算：out = (in/2 - 1/2)向下取整 + 1， 也就是in/2 - 1 + 1 = in / 2\n",
    "      downsample = nn.Sequential(\n",
    "                conv3x3(in_channel, out_channel, stride=stride),\n",
    "                nn.BatchNorm2d(out_channel)\n",
    "                )\n",
    "    return nn.Sequential(*[\n",
    "        ResBlock(in_channel, out_channel, stride, downsample = downsample, dilation = dilation) if i == 0 else\n",
    "        ResBlock(out_channel, out_channel, 1, dilation = dilation)\n",
    "        for i in range(block_num)\n",
    "    ])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1fc55884-0a41-46af-bbb8-bcc55be86d47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda\n"
     ]
    }
   ],
   "source": [
    "net = ResNet(classes = classes, base_channel = 64).to(device)\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9)\n",
    "#optimizer = optim.Adam(net.parameters(), lr=0.001)\n",
    "print(device)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "48493633-6b18-408a-a0cd-b770da9f40b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第 0/49 轮训练\n",
      "----------\n",
      "train 损失: 4.0764 Top-1 准确率: 0.0777 Top-5 准确率: 0.2479\n",
      "val 损失: 3.9683 Top-1 准确率: 0.0957 Top-5 准确率: 0.2897\n",
      "\n",
      "第 1/49 轮训练\n",
      "----------\n",
      "train 损失: 3.4687 Top-1 准确率: 0.1723 Top-5 准确率: 0.4318\n",
      "val 损失: 3.1923 Top-1 准确率: 0.2257 Top-5 准确率: 0.4948\n",
      "\n",
      "第 2/49 轮训练\n",
      "----------\n",
      "train 损失: 3.0055 Top-1 准确率: 0.2561 Top-5 准确率: 0.5557\n",
      "val 损失: 2.8907 Top-1 准确率: 0.2768 Top-5 准确率: 0.5750\n",
      "\n",
      "第 3/49 轮训练\n",
      "----------\n",
      "train 损失: 2.6799 Top-1 准确率: 0.3173 Top-5 准确率: 0.6323\n",
      "val 损失: 2.6794 Top-1 准确率: 0.3197 Top-5 准确率: 0.6259\n",
      "\n",
      "第 4/49 轮训练\n",
      "----------\n",
      "train 损失: 2.4321 Top-1 准确率: 0.3684 Top-5 准确率: 0.6874\n",
      "val 损失: 2.3637 Top-1 准确率: 0.3783 Top-5 准确率: 0.6973\n",
      "\n",
      "第 5/49 轮训练\n",
      "----------\n",
      "train 损失: 2.2518 Top-1 准确率: 0.4068 Top-5 准确率: 0.7227\n",
      "val 损失: 2.1016 Top-1 准确率: 0.4349 Top-5 准确率: 0.7533\n",
      "\n",
      "第 6/49 轮训练\n",
      "----------\n",
      "train 损失: 2.1272 Top-1 准确率: 0.4327 Top-5 准确率: 0.7483\n",
      "val 损失: 2.0179 Top-1 准确率: 0.4599 Top-5 准确率: 0.7633\n",
      "\n",
      "第 7/49 轮训练\n",
      "----------\n",
      "train 损失: 2.0041 Top-1 准确率: 0.4623 Top-5 准确率: 0.7728\n",
      "val 损失: 2.0341 Top-1 准确率: 0.4550 Top-5 准确率: 0.7696\n",
      "\n",
      "第 8/49 轮训练\n",
      "----------\n",
      "train 损失: 1.8988 Top-1 准确率: 0.4847 Top-5 准确率: 0.7930\n",
      "val 损失: 1.8302 Top-1 准确率: 0.5010 Top-5 准确率: 0.8017\n",
      "\n",
      "第 9/49 轮训练\n",
      "----------\n",
      "train 损失: 1.8242 Top-1 准确率: 0.5024 Top-5 准确率: 0.8056\n",
      "val 损失: 1.7892 Top-1 准确率: 0.5136 Top-5 准确率: 0.8073\n",
      "\n",
      "第 10/49 轮训练\n",
      "----------\n",
      "train 损失: 1.7438 Top-1 准确率: 0.5236 Top-5 准确率: 0.8186\n",
      "val 损失: 1.7816 Top-1 准确率: 0.5117 Top-5 准确率: 0.8101\n",
      "\n",
      "第 11/49 轮训练\n",
      "----------\n",
      "train 损失: 1.6751 Top-1 准确率: 0.5388 Top-5 准确率: 0.8318\n",
      "val 损失: 1.7429 Top-1 准确率: 0.5265 Top-5 准确率: 0.8147\n",
      "\n",
      "第 12/49 轮训练\n",
      "----------\n",
      "train 损失: 1.6128 Top-1 准确率: 0.5525 Top-5 准确率: 0.8404\n",
      "val 损失: 1.6677 Top-1 准确率: 0.5453 Top-5 准确率: 0.8265\n",
      "\n",
      "第 13/49 轮训练\n",
      "----------\n",
      "train 损失: 1.5518 Top-1 准确率: 0.5660 Top-5 准确率: 0.8509\n",
      "val 损失: 1.6778 Top-1 准确率: 0.5387 Top-5 准确率: 0.8294\n",
      "\n",
      "第 14/49 轮训练\n",
      "----------\n",
      "train 损失: 1.5042 Top-1 准确率: 0.5798 Top-5 准确率: 0.8577\n",
      "val 损失: 1.6902 Top-1 准确率: 0.5451 Top-5 准确率: 0.8222\n",
      "\n",
      "第 15/49 轮训练\n",
      "----------\n",
      "train 损失: 1.4506 Top-1 准确率: 0.5951 Top-5 准确率: 0.8638\n",
      "val 损失: 1.5863 Top-1 准确率: 0.5652 Top-5 准确率: 0.8440\n",
      "\n",
      "第 16/49 轮训练\n",
      "----------\n",
      "train 损失: 1.4097 Top-1 准确率: 0.6044 Top-5 准确率: 0.8723\n",
      "val 损失: 1.5669 Top-1 准确率: 0.5728 Top-5 准确率: 0.8425\n",
      "\n",
      "第 17/49 轮训练\n",
      "----------\n",
      "train 损失: 1.3613 Top-1 准确率: 0.6152 Top-5 准确率: 0.8807\n",
      "val 损失: 1.6006 Top-1 准确率: 0.5633 Top-5 准确率: 0.8432\n",
      "\n",
      "第 18/49 轮训练\n",
      "----------\n",
      "train 损失: 1.3317 Top-1 准确率: 0.6250 Top-5 准确率: 0.8828\n",
      "val 损失: 1.6203 Top-1 准确率: 0.5649 Top-5 准确率: 0.8422\n",
      "\n",
      "第 19/49 轮训练\n",
      "----------\n",
      "train 损失: 1.2895 Top-1 准确率: 0.6362 Top-5 准确率: 0.8892\n",
      "val 损失: 1.5206 Top-1 准确率: 0.5901 Top-5 准确率: 0.8510\n",
      "\n",
      "第 20/49 轮训练\n",
      "----------\n",
      "train 损失: 1.2523 Top-1 准确率: 0.6438 Top-5 准确率: 0.8938\n",
      "val 损失: 1.4597 Top-1 准确率: 0.5970 Top-5 准确率: 0.8672\n",
      "\n",
      "第 21/49 轮训练\n",
      "----------\n",
      "train 损失: 1.2160 Top-1 准确率: 0.6523 Top-5 准确率: 0.8995\n",
      "val 损失: 1.5390 Top-1 准确率: 0.5854 Top-5 准确率: 0.8568\n",
      "\n",
      "第 22/49 轮训练\n",
      "----------\n",
      "train 损失: 1.1908 Top-1 准确率: 0.6594 Top-5 准确率: 0.9030\n",
      "val 损失: 1.4729 Top-1 准确率: 0.6022 Top-5 准确率: 0.8637\n",
      "\n",
      "第 23/49 轮训练\n",
      "----------\n",
      "train 损失: 1.1579 Top-1 准确率: 0.6658 Top-5 准确率: 0.9086\n",
      "val 损失: 1.5736 Top-1 准确率: 0.5802 Top-5 准确率: 0.8467\n",
      "\n",
      "第 24/49 轮训练\n",
      "----------\n",
      "train 损失: 1.1239 Top-1 准确率: 0.6774 Top-5 准确率: 0.9121\n",
      "val 损失: 1.5253 Top-1 准确率: 0.5951 Top-5 准确率: 0.8601\n",
      "\n",
      "第 25/49 轮训练\n",
      "----------\n",
      "train 损失: 1.1025 Top-1 准确率: 0.6821 Top-5 准确率: 0.9153\n",
      "val 损失: 1.3939 Top-1 准确率: 0.6180 Top-5 准确率: 0.8745\n",
      "\n",
      "第 26/49 轮训练\n",
      "----------\n",
      "train 损失: 1.0657 Top-1 准确率: 0.6932 Top-5 准确率: 0.9192\n",
      "val 损失: 1.3538 Top-1 准确率: 0.6357 Top-5 准确率: 0.8853\n",
      "\n",
      "第 27/49 轮训练\n",
      "----------\n",
      "train 损失: 1.0530 Top-1 准确率: 0.6942 Top-5 准确率: 0.9201\n",
      "val 损失: 1.4355 Top-1 准确率: 0.6205 Top-5 准确率: 0.8726\n",
      "\n",
      "第 28/49 轮训练\n",
      "----------\n",
      "train 损失: 1.0191 Top-1 准确率: 0.7038 Top-5 准确率: 0.9257\n",
      "val 损失: 1.4267 Top-1 准确率: 0.6204 Top-5 准确率: 0.8745\n",
      "\n",
      "第 29/49 轮训练\n",
      "----------\n",
      "train 损失: 0.9942 Top-1 准确率: 0.7105 Top-5 准确率: 0.9273\n",
      "val 损失: 1.4758 Top-1 准确率: 0.6087 Top-5 准确率: 0.8707\n",
      "\n",
      "第 30/49 轮训练\n",
      "----------\n",
      "train 损失: 0.9661 Top-1 准确率: 0.7174 Top-5 准确率: 0.9317\n",
      "val 损失: 1.3253 Top-1 准确率: 0.6408 Top-5 准确率: 0.8914\n",
      "\n",
      "第 31/49 轮训练\n",
      "----------\n",
      "train 损失: 0.9422 Top-1 准确率: 0.7237 Top-5 准确率: 0.9337\n",
      "val 损失: 1.4244 Top-1 准确率: 0.6321 Top-5 准确率: 0.8776\n",
      "\n",
      "第 32/49 轮训练\n",
      "----------\n",
      "train 损失: 0.9244 Top-1 准确率: 0.7297 Top-5 准确率: 0.9362\n",
      "val 损失: 1.4361 Top-1 准确率: 0.6192 Top-5 准确率: 0.8763\n",
      "\n",
      "第 33/49 轮训练\n",
      "----------\n",
      "train 损失: 0.9030 Top-1 准确率: 0.7338 Top-5 准确率: 0.9387\n",
      "val 损失: 1.3528 Top-1 准确率: 0.6412 Top-5 准确率: 0.8901\n",
      "\n",
      "第 34/49 轮训练\n",
      "----------\n",
      "train 损失: 0.8816 Top-1 准确率: 0.7409 Top-5 准确率: 0.9419\n",
      "val 损失: 1.2951 Top-1 准确率: 0.6596 Top-5 准确率: 0.8932\n",
      "\n",
      "第 35/49 轮训练\n",
      "----------\n",
      "train 损失: 0.8458 Top-1 准确率: 0.7517 Top-5 准确率: 0.9465\n",
      "val 损失: 1.3868 Top-1 准确率: 0.6475 Top-5 准确率: 0.8863\n",
      "\n",
      "第 36/49 轮训练\n",
      "----------\n",
      "train 损失: 0.8330 Top-1 准确率: 0.7507 Top-5 准确率: 0.9467\n",
      "val 损失: 1.4064 Top-1 准确率: 0.6402 Top-5 准确率: 0.8825\n",
      "\n",
      "第 37/49 轮训练\n",
      "----------\n",
      "train 损失: 0.8313 Top-1 准确率: 0.7542 Top-5 准确率: 0.9469\n",
      "val 损失: 1.3559 Top-1 准确率: 0.6477 Top-5 准确率: 0.8907\n",
      "\n",
      "第 38/49 轮训练\n",
      "----------\n",
      "train 损失: 0.8111 Top-1 准确率: 0.7574 Top-5 准确率: 0.9503\n",
      "val 损失: 1.4082 Top-1 准确率: 0.6380 Top-5 准确率: 0.8822\n",
      "\n",
      "第 39/49 轮训练\n",
      "----------\n",
      "train 损失: 0.7841 Top-1 准确率: 0.7665 Top-5 准确率: 0.9511\n",
      "val 损失: 1.4222 Top-1 准确率: 0.6445 Top-5 准确率: 0.8828\n",
      "\n",
      "第 40/49 轮训练\n",
      "----------\n",
      "train 损失: 0.7708 Top-1 准确率: 0.7703 Top-5 准确率: 0.9526\n",
      "val 损失: 1.3847 Top-1 准确率: 0.6496 Top-5 准确率: 0.8910\n",
      "\n",
      "第 41/49 轮训练\n",
      "----------\n",
      "train 损失: 0.7464 Top-1 准确率: 0.7785 Top-5 准确率: 0.9555\n",
      "val 损失: 1.4289 Top-1 准确率: 0.6395 Top-5 准确率: 0.8821\n",
      "\n",
      "第 42/49 轮训练\n",
      "----------\n",
      "train 损失: 0.7284 Top-1 准确率: 0.7809 Top-5 准确率: 0.9580\n",
      "val 损失: 1.4727 Top-1 准确率: 0.6366 Top-5 准确率: 0.8808\n",
      "\n",
      "第 43/49 轮训练\n",
      "----------\n",
      "train 损失: 0.7124 Top-1 准确率: 0.7878 Top-5 准确率: 0.9590\n",
      "val 损失: 1.4426 Top-1 准确率: 0.6484 Top-5 准确率: 0.8856\n",
      "\n",
      "第 44/49 轮训练\n",
      "----------\n",
      "train 损失: 0.7012 Top-1 准确率: 0.7916 Top-5 准确率: 0.9595\n",
      "val 损失: 1.3806 Top-1 准确率: 0.6581 Top-5 准确率: 0.8908\n",
      "\n",
      "第 45/49 轮训练\n",
      "----------\n",
      "train 损失: 0.6894 Top-1 准确率: 0.7918 Top-5 准确率: 0.9625\n",
      "val 损失: 1.3830 Top-1 准确率: 0.6595 Top-5 准确率: 0.8899\n",
      "\n",
      "第 46/49 轮训练\n",
      "----------\n",
      "train 损失: 0.6692 Top-1 准确率: 0.7978 Top-5 准确率: 0.9640\n",
      "val 损失: 1.3897 Top-1 准确率: 0.6627 Top-5 准确率: 0.8937\n",
      "\n",
      "第 47/49 轮训练\n",
      "----------\n",
      "train 损失: 0.6546 Top-1 准确率: 0.8030 Top-5 准确率: 0.9650\n",
      "val 损失: 1.4210 Top-1 准确率: 0.6545 Top-5 准确率: 0.8914\n",
      "\n",
      "第 48/49 轮训练\n",
      "----------\n",
      "train 损失: 0.6394 Top-1 准确率: 0.8077 Top-5 准确率: 0.9666\n",
      "val 损失: 1.3733 Top-1 准确率: 0.6657 Top-5 准确率: 0.8963\n",
      "\n",
      "第 49/49 轮训练\n",
      "----------\n",
      "train 损失: 0.6280 Top-1 准确率: 0.8091 Top-5 准确率: 0.9667\n",
      "val 损失: 1.4741 Top-1 准确率: 0.6561 Top-5 准确率: 0.8888\n",
      "\n",
      "训练完成，耗时 70m 11s\n",
      "最佳验证集准确率: 0.665700\n"
     ]
    }
   ],
   "source": [
    "#loss_record, net = train(trainloader, net, optimizer, criterion, device, epoch_num = 10, save_model = False, testloader = testloader)\n",
    "scheduler = lr_scheduler.StepLR(optimizer, step_size=50, gamma=0.1)\n",
    "net, (train_losses, train_top1_accs, train_top5_accs, val_losses, val_top1_accs, val_top5_accs) = train_model(trainloader, net, criterion, optimizer, device, scheduler, num_epochs=50, testloader = testloader)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de27fec9-b423-4c34-801b-cdbd8b900ee8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5b42cfa9-4d57-40fd-8d22-928dc18efdbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_cpu_numpy(tensor):\n",
    "    return tensor.cpu().numpy()\n",
    "def to_cpu(list_):\n",
    "    if isinstance(list_, list):\n",
    "        return list(map(to_cpu_numpy,list_))\n",
    "    else:\n",
    "        return to_cpu_numpy(list_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "400f5920-69e2-472d-a629-29281243a487",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 20934 (\\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 30830 (\\N{CJK UNIFIED IDEOGRAPH-786E}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/deep-learning/FuTong/chao_kk.py:55: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 20934 (\\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 30830 (\\N{CJK UNIFIED IDEOGRAPH-786E}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_training_results(train_losses, to_cpu(train_top1_accs), to_cpu(train_top5_accs), val_losses, to_cpu(val_top1_accs), to_cpu(val_top5_accs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0820e2f1-6b3b-47c2-bab3-7cf02cfc182b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('data_enhanced_baseline.pkl', 'wb') as f:\n",
    "    pickle.dump([\n",
    "        net, (train_losses, train_top1_accs, train_top5_accs, val_losses, val_top1_accs, val_top5_accs)\n",
    "    ], f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "75968b42-66f1-485b-9017-f60049d84e71",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6515a9de-44af-4c74-8b34-8e1b7d514b86",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6657\n",
      "Accuracy for class: apple is 81.0 %\n",
      "Accuracy for class: aquarium_fish is 88.0 %\n",
      "Accuracy for class: baby  is 46.0 %\n",
      "Accuracy for class: bear  is 42.0 %\n",
      "Accuracy for class: beaver is 39.0 %\n",
      "Accuracy for class: bed   is 72.0 %\n",
      "Accuracy for class: bee   is 75.0 %\n",
      "Accuracy for class: beetle is 61.0 %\n",
      "Accuracy for class: bicycle is 86.0 %\n",
      "Accuracy for class: bottle is 86.0 %\n",
      "Accuracy for class: bowl  is 58.0 %\n",
      "Accuracy for class: boy   is 32.0 %\n",
      "Accuracy for class: bridge is 84.0 %\n",
      "Accuracy for class: bus   is 69.0 %\n",
      "Accuracy for class: butterfly is 61.0 %\n",
      "Accuracy for class: camel is 72.0 %\n",
      "Accuracy for class: can   is 60.0 %\n",
      "Accuracy for class: castle is 91.0 %\n",
      "Accuracy for class: caterpillar is 61.0 %\n",
      "Accuracy for class: cattle is 66.0 %\n",
      "Accuracy for class: chair is 82.0 %\n",
      "Accuracy for class: chimpanzee is 77.0 %\n",
      "Accuracy for class: clock is 64.0 %\n",
      "Accuracy for class: cloud is 86.0 %\n",
      "Accuracy for class: cockroach is 77.0 %\n",
      "Accuracy for class: couch is 64.0 %\n",
      "Accuracy for class: crab  is 61.0 %\n",
      "Accuracy for class: crocodile is 70.0 %\n",
      "Accuracy for class: cup   is 78.0 %\n",
      "Accuracy for class: dinosaur is 67.0 %\n",
      "Accuracy for class: dolphin is 63.0 %\n",
      "Accuracy for class: elephant is 72.0 %\n",
      "Accuracy for class: flatfish is 68.0 %\n",
      "Accuracy for class: forest is 53.0 %\n",
      "Accuracy for class: fox   is 54.0 %\n",
      "Accuracy for class: girl  is 41.0 %\n",
      "Accuracy for class: hamster is 80.0 %\n",
      "Accuracy for class: house is 60.0 %\n",
      "Accuracy for class: kangaroo is 69.0 %\n",
      "Accuracy for class: keyboard is 82.0 %\n",
      "Accuracy for class: lamp  is 62.0 %\n",
      "Accuracy for class: lawn_mower is 88.0 %\n",
      "Accuracy for class: leopard is 50.0 %\n",
      "Accuracy for class: lion  is 83.0 %\n",
      "Accuracy for class: lizard is 42.0 %\n",
      "Accuracy for class: lobster is 44.0 %\n",
      "Accuracy for class: man   is 36.0 %\n",
      "Accuracy for class: maple_tree is 68.0 %\n",
      "Accuracy for class: motorcycle is 82.0 %\n",
      "Accuracy for class: mountain is 77.0 %\n",
      "Accuracy for class: mouse is 54.0 %\n",
      "Accuracy for class: mushroom is 68.0 %\n",
      "Accuracy for class: oak_tree is 48.0 %\n",
      "Accuracy for class: orange is 91.0 %\n",
      "Accuracy for class: orchid is 79.0 %\n",
      "Accuracy for class: otter is 38.0 %\n",
      "Accuracy for class: palm_tree is 86.0 %\n",
      "Accuracy for class: pear  is 69.0 %\n",
      "Accuracy for class: pickup_truck is 73.0 %\n",
      "Accuracy for class: pine_tree is 68.0 %\n",
      "Accuracy for class: plain is 91.0 %\n",
      "Accuracy for class: plate is 75.0 %\n",
      "Accuracy for class: poppy is 69.0 %\n",
      "Accuracy for class: porcupine is 66.0 %\n",
      "Accuracy for class: possum is 50.0 %\n",
      "Accuracy for class: rabbit is 55.0 %\n",
      "Accuracy for class: raccoon is 58.0 %\n",
      "Accuracy for class: ray   is 53.0 %\n",
      "Accuracy for class: road  is 87.0 %\n",
      "Accuracy for class: rocket is 75.0 %\n",
      "Accuracy for class: rose  is 65.0 %\n",
      "Accuracy for class: sea   is 69.0 %\n",
      "Accuracy for class: seal  is 34.0 %\n",
      "Accuracy for class: shark is 38.0 %\n",
      "Accuracy for class: shrew is 48.0 %\n",
      "Accuracy for class: skunk is 82.0 %\n",
      "Accuracy for class: skyscraper is 87.0 %\n",
      "Accuracy for class: snail is 57.0 %\n",
      "Accuracy for class: snake is 73.0 %\n",
      "Accuracy for class: spider is 78.0 %\n",
      "Accuracy for class: squirrel is 44.0 %\n",
      "Accuracy for class: streetcar is 65.0 %\n",
      "Accuracy for class: sunflower is 90.0 %\n",
      "Accuracy for class: sweet_pepper is 58.0 %\n",
      "Accuracy for class: table is 64.0 %\n",
      "Accuracy for class: tank  is 78.0 %\n",
      "Accuracy for class: telephone is 77.0 %\n",
      "Accuracy for class: television is 70.0 %\n",
      "Accuracy for class: tiger is 65.0 %\n",
      "Accuracy for class: tractor is 81.0 %\n",
      "Accuracy for class: train is 70.0 %\n",
      "Accuracy for class: trout is 75.0 %\n",
      "Accuracy for class: tulip is 40.0 %\n",
      "Accuracy for class: turtle is 53.0 %\n",
      "Accuracy for class: wardrobe is 88.0 %\n",
      "Accuracy for class: whale is 63.0 %\n",
      "Accuracy for class: willow_tree is 62.0 %\n",
      "Accuracy for class: wolf  is 66.0 %\n",
      "Accuracy for class: woman is 65.0 %\n",
      "Accuracy for class: worm  is 69.0 %\n"
     ]
    }
   ],
   "source": [
    "show_all_class_acc(classes, testloader, net, device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fee92407-cdd0-4567-b047-04d0733e7352",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df21b0f2-62b7-4ce3-a94d-cacbf4e26aa8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "37015137-6e99-4720-aaa0-1146bb2f4e09",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第 0/19 轮训练\n",
      "----------\n",
      "train 损失: 0.4739 Top-1 准确率: 0.8608 Top-5 准确率: 0.9780\n",
      "val 损失: 1.2659 Top-1 准确率: 0.6951 Top-5 准确率: 0.9102\n",
      "\n",
      "第 1/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3980 Top-1 准确率: 0.8807 Top-5 准确率: 0.9836\n",
      "val 损失: 1.2643 Top-1 准确率: 0.6993 Top-5 准确率: 0.9152\n",
      "\n",
      "第 2/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3861 Top-1 准确率: 0.8857 Top-5 准确率: 0.9823\n",
      "val 损失: 1.2690 Top-1 准确率: 0.6971 Top-5 准确率: 0.9129\n",
      "\n",
      "第 3/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3730 Top-1 准确率: 0.8915 Top-5 准确率: 0.9844\n",
      "val 损失: 1.2628 Top-1 准确率: 0.7034 Top-5 准确率: 0.9148\n",
      "\n",
      "第 4/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3609 Top-1 准确率: 0.8937 Top-5 准确率: 0.9851\n",
      "val 损失: 1.2709 Top-1 准确率: 0.7016 Top-5 准确率: 0.9147\n",
      "\n",
      "第 5/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3537 Top-1 准确率: 0.8958 Top-5 准确率: 0.9863\n",
      "val 损失: 1.2966 Top-1 准确率: 0.7033 Top-5 准确率: 0.9138\n",
      "\n",
      "第 6/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3495 Top-1 准确率: 0.8969 Top-5 准确率: 0.9859\n",
      "val 损失: 1.3017 Top-1 准确率: 0.6991 Top-5 准确率: 0.9116\n",
      "\n",
      "第 7/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3393 Top-1 准确率: 0.9008 Top-5 准确率: 0.9866\n",
      "val 损失: 1.2748 Top-1 准确率: 0.7062 Top-5 准确率: 0.9162\n",
      "\n",
      "第 8/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3338 Top-1 准确率: 0.9003 Top-5 准确率: 0.9863\n",
      "val 损失: 1.3070 Top-1 准确率: 0.7016 Top-5 准确率: 0.9122\n",
      "\n",
      "第 9/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3229 Top-1 准确率: 0.9056 Top-5 准确率: 0.9871\n",
      "val 损失: 1.3038 Top-1 准确率: 0.7031 Top-5 准确率: 0.9143\n",
      "\n",
      "第 10/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3218 Top-1 准确率: 0.9044 Top-5 准确率: 0.9884\n",
      "val 损失: 1.3256 Top-1 准确率: 0.6985 Top-5 准确率: 0.9117\n",
      "\n",
      "第 11/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3176 Top-1 准确率: 0.9072 Top-5 准确率: 0.9877\n",
      "val 损失: 1.3000 Top-1 准确率: 0.7112 Top-5 准确率: 0.9164\n",
      "\n",
      "第 12/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3155 Top-1 准确率: 0.9065 Top-5 准确率: 0.9875\n",
      "val 损失: 1.3588 Top-1 准确率: 0.6976 Top-5 准确率: 0.9101\n",
      "\n",
      "第 13/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3116 Top-1 准确率: 0.9075 Top-5 准确率: 0.9883\n",
      "val 损失: 1.3168 Top-1 准确率: 0.7057 Top-5 准确率: 0.9113\n",
      "\n",
      "第 14/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3056 Top-1 准确率: 0.9101 Top-5 准确率: 0.9885\n",
      "val 损失: 1.3360 Top-1 准确率: 0.7040 Top-5 准确率: 0.9108\n",
      "\n",
      "第 15/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3064 Top-1 准确率: 0.9092 Top-5 准确率: 0.9882\n",
      "val 损失: 1.3537 Top-1 准确率: 0.7027 Top-5 准确率: 0.9125\n",
      "\n",
      "第 16/19 轮训练\n",
      "----------\n",
      "train 损失: 0.3068 Top-1 准确率: 0.9109 Top-5 准确率: 0.9881\n",
      "val 损失: 1.3244 Top-1 准确率: 0.7066 Top-5 准确率: 0.9122\n",
      "\n",
      "第 17/19 轮训练\n",
      "----------\n",
      "train 损失: 0.2956 Top-1 准确率: 0.9132 Top-5 准确率: 0.9897\n",
      "val 损失: 1.3310 Top-1 准确率: 0.7052 Top-5 准确率: 0.9126\n",
      "\n",
      "第 18/19 轮训练\n",
      "----------\n",
      "train 损失: 0.2906 Top-1 准确率: 0.9148 Top-5 准确率: 0.9889\n",
      "val 损失: 1.3602 Top-1 准确率: 0.7011 Top-5 准确率: 0.9120\n",
      "\n",
      "第 19/19 轮训练\n",
      "----------\n",
      "train 损失: 0.2966 Top-1 准确率: 0.9136 Top-5 准确率: 0.9882\n",
      "val 损失: 1.3494 Top-1 准确率: 0.7035 Top-5 准确率: 0.9104\n",
      "\n",
      "训练完成，耗时 23m 39s\n",
      "最佳验证集准确率: 0.711200\n"
     ]
    }
   ],
   "source": [
    "net2, (train_losses2, train_top1_accs2, train_top5_accs2, val_losses2, val_top1_accs2, val_top5_accs2) = train_model(trainloader, net, criterion, optimizer, device, scheduler, num_epochs=20, testloader = testloader)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3e6bcd8-be18-43cf-afe4-4a35930a24cc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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